A Wordy but Worthy Guide to Neural Networks

6 min read

Neural Networks

The types of neural networks available for Machine Learning these days are so numerous that it deserves a wordy guide. At times, It can seem challenging to choose one for your project. In this article, we will discuss a few widely used neural network examples with details on how to implement them. References have been included at the end for those who would like to learn more. Perceptron: This is the simplest model of an Artificial Neural Network. Although its applications are limited, understanding the concept of the perceptron can aid in the understanding of how a basic Neural Network…...

This article is free to read

Login to read the full article


OR

By subscribing to our main site, you will also be subscribed to DDIntel - our regular letter showcasing our featured articles and applications.

Dr Justin Chan Dr Chan founded DataDrivenInvestor.com (DDI) and is the CEO for JCube Capital Partners. Specialized in strategy development, alternative data analytics and behavioral finance, Dr Chan also has extensive experience in investment management and financial services industries. Prior to forming JCube and DDI, Dr Chan served in the capacity of strategy development in multiple hedge funds, fintech companies, and also served as a senior quantitative strategist at GMO. A published author at professional journals in finance, Dr. Chan holds a Ph.D. degree in finance from UCLA.